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Fast-gpu-pcc: A gpu-based technique to compute pairwise pearson’s correlation coefficients for time series data—fmri study

, and . High-throughput, 7 (2): 11 (2018)

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GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data., , and . BCB, page 723-728. ACM, (2017)Fast-gpu-pcc: A gpu-based technique to compute pairwise pearson’s correlation coefficients for time series data—fmri study, and . High-throughput, 7 (2): 11 (2018)GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data., and . BigDataService, page 114-121. IEEE, (2019)Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data., , and . CoRR, (2020)Auto-ASD-Network: A Technique Based on Deep Learning and Support Vector Machines for Diagnosing Autism Spectrum Disorder using fMRI Data., and . BCB, page 646-651. ACM, (2019)Similarity based classification of ADHD using singular value decomposition., and . CF, page 19-25. ACM, (2018)DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images., , , and . BIBM, page 1703-1710. IEEE, (2021)Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey., , , and . Frontiers Neuroinformatics, (2020)GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data., , and . Comput. Biol. Medicine, (2018)ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data., , , , and . Frontiers Neuroinformatics, (2019)